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  • Upcoming Classes

    Configuring PI Data Archive Security Online Course (English)
    May 01 - May 19, 2017 | Online
    In this facilitated online course, you will learn the skills necessary to configure security on the PI Data Archive using OSIsoft best practices. Specifically, you will learn how to create new PI Identities and assign them custom permissions on different areas of the PI Data Archive corresponding to the security needs of your users. Additionally, this course will cover how to tighten down your security model to allow the minimum permissions needed for users and applications. A guided final project will help to reinforce concepts and skills covered in the video lectures.

    This course will leverage a PI System configuration within the OSIsoft Virtual Learning Environment (VLE), virtual machines hosted on Microsoft Azure that you can access remotely. Please note that you need to meet the following system requirements in order to connect to the VLE:
    • Remote Desktop Protocol (RDP) Client
    • Access the domain cloudapp.net where the machines are hosted
    A typical connection string has the form cloudservicename.cloudapp.net:xxxxx, where the cloud service name is specific to a group of virtual machines and xxxxx is a port in the range 41952-65535. Therefore users connecting to Azure virtual machines must be allowed to connect to the domain *.cloudapp.net throughout the port range 41952-65535. Please check your company firewall policies and ensure that you can connect to this domain on the required ports.
    PI System Architecture, Planning, & Implementation (English)
    May 02 - May 05, 2017 | Houston, USA

    The PI System Architecture, Planning, & Implementation class deals with the issues surrounding the implementation of a PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the installation of both the Data Archive and AF Server. In this class each student will work to successfully install a High Availability PI System, from interface to visualization tools. You will spend valuable time discussing the components and their requirements so you can understand the best way the PI System will fit into your own Enterprise.

    This course requires no previous knowledge of the PI System.

    The class is four days long. Class starts at 8:30 a.m. and ends at 4:30 p.m. Lunch breaks are at 12 p.m. each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (English)
    May 02 - May 04, 2017 | Calgary, Canada
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Visualizing PI System Data (English)
    May 02 - May 04, 2017 | San Leandro, USA
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Asset Hierarchies with PI AF Online Course (English)
    May 08 - May 26, 2017 | Online
    In the Building Asset Hierarchies with PI AF online course, students learn the skills needed to successfully model their processes and equipment using the PI Asset Framework (AF) Server. This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes); the elements and attributes help users successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive; metadata from relational sources; or calculated data from PI AF formulas.

    Additionally, students learn how to templatize elements and add units of measurement (UOM) to standardize models across different assets or units of an organization. Then, they learn to leverage templates to scale models out and compare like assets using OSIsoft client tools. This course also covers topics, such as tag creation through PI AF.

    Please note that each learner is encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
    Building PI System Assets and Analytics with PI AF (English)
    May 08 - May 11, 2017 | SEEF Suburb, Bahrain

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Configurando Analytics com o PI AF (Portuguese)
    May 08 - May 26, 2017 | Online
    Neste curso, você desenvolverá suas habilidades para configurar cálculos, análises e notificações utilizando o PI Asset Framework (AF). Você aprenderá a utilizar o aplicativo Expressions para cálculos de múltiplas linhas, Rollups para realizar consolidações de dados, PI Event Frames para detectar automaticamente eventos e padrões em dados de processo, além do PI Notifications, para gerar os alertas. Você aprenderá a configurar análises nos templates, para poder aplicá-las para todos os elementos derivados, gravar os resultados em TAGs e também a configurar o preenchimento de histórico de todas as análises disponíveis. Depois de configuradas, o curso explora a utilização destes cálculos em ferramentas cliente como PI DataLink e PI Coresight para visualizar e implementar telas de forma rápida e efetiva. Os conceitos apresentados nos vídeos são reforçados em diversos exercícios práticos. Ressaltamos que você deverá utilizar seu próprio servidor PI Data Archive e estrutura do PI AF para desenvolver seus modelos de dados. Esta condição faz com que você possa aplicar o conceito diretamente no seu dia a dia corporativo.
    Construindo Hierarquias de Ativos com o PI AF (Portuguese)
    May 08 - May 26, 2017 | Online
    Neste curso, você desenvolverá asa habilidades para modelar processos e equipamentos utilizando o PI Asset Framework (AF) Server. O curso trata das metodologias e boas práticas para representar (Elementos do AF) e seus dados associados (Atributos do AF). Os elementos e atributos podem ser organizados em hierarquias e agrupam os dados de diversas fontes, como por exemplo de um PI Data Archive, metadados de bancos de dados relacionais, ou dados consolidados em um servidor AF através de fórmulas ou expressões. Adicionalmente, o curso explora o conceito de templates e unidades de medida (UOM) para padronizar modelos de diferentes ativos e plantas em toda a organização. Por último, o curso trabalhará a exibição e comparação destes ativos utilizando as ferramentas cliente da OSIsoft. O curso também cobre tópicos sobre criação de tags com padrões, utilizando o PI AF. Ressaltamos que você deverá utilizar seu próprio servidor PI e estrutura do AF para desenvolver seus modelos de dados. Esta condição faz com que você possa aplicar o conceito diretamente no seu dia a dia corporativo.
    Partner Bootcamp (English)
    May 08 - May 11, 2017 | Frankfurt am Main, Germany

    In our Partner Bootcamp, students will learn the basic technologies surrounding the PI System.  This course is an accelerated course bundle conceived specially for partners.  The material is delivered at a rigorous pace, but with ample time to develop skills.  Learners will be exposed to the working of the PI System from a wide range of perspectives: implementation, administration, end user, and integration.  The primary goal of this course is to the give our partners a solid grounding in the PI System so they can bring maximum value to their customers.  

    This course is for Current OSIsoft Partner Program Members only.   Other registrations will be cancelled.

    Building PI System Assets and Analytics with PI AF (English)
    May 09 - May 12, 2017 | Houston, USA

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    PI System Administration for IT Professionals (English)
    May 09 - May 12, 2017 | San Leandro, USA

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (Português) (Portuguese)
    May 09 - May 11, 2017 | Sao Paulo, Brazil
    No curso Visualizing PI System Data você aprenderá como utilizar as ferramentas cliente para acessar e combinar seus dados de processo junto com seus dados corporativos. Nós iremos trabalhar com o PI ProcessBook, ferramenta que permite a criação de displays dinâmicos e interativos com dados em tempo real, utilizaremos  os recursos do Microsoft Excel e PI DataLink para criar relatórios dinâmicos.  A maior parte do curso é dedicada a atividades práticas.

    Apesar do curso ser lecionado em Português, o(s) manual(is) do curso se encontra(m) no idioma original em inglês. Em alguns casos podemos oferecer os materiais em português de acordo com a disponibilidade.
     
    Visualizing PI System Data (Partner) (English)
    May 10 - May 12, 2017 | Online
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Advanced Displays with PI ProcessBook Online Course (English)
    May 15 - Jun 02, 2017 | Online
    In the Building Advanced Displays with PI ProcessBook online course, you will expand on your knowledge of our popular client tool to interpret your process data in a deeper and more organized way. This follow-up course to the Building Basic Displays with PI ProcessBook online course will cover topics such as creating workbooks, data sets, XY plots, and SQC charts. We will also introduce you to the PI AF Display Builder, and guide you on how you can quickly show your data in an organized format beyond just displaying values.

    Please note that each learner is encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
    Analyzing PI System Data (English)
    May 16 - May 18, 2017 | Perth, Australia

    The Analyzing PI System Data course is data oriented concentrating on viewing the PI System data, combining PI System data with other data, and creating reports allowing the analysis of the data through Business Intelligence (BI) tools. This class will teach you about different clients and tools to view your PI Data. Learn how to import PI System Data through the PI Integrator for Business Analytics and merge it with external data to create easy-to-read reports, reduce reports associated with related data, and publishing reports allowing easy sharing and ensuring one version of the truth being the focal point. The class will cover aspects of the following tools; PI Integrator for Business Analytics, Microsoft Excel, Microsoft PowerPivot, Microsoft PowerView, Microsoft PowerBI, and Tibco Spotfire. If you feel like writing business reports is too difficult, this may be the course for you. We will build upon your existing application knowledge with hands-on activities to help you slice and dice your business data.

    The class is 3 days long. Class will start promptly at 8:30am and is scheduled to 4:30 with a one hour lunch break. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. .

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